Where frontier teams find builders before everyone else.

Rare generalists who ship product, stand up infra, and talk to users in the same week. We source them from early employees of strong startups and former founders, and screen for range and ownership over titles.

People fluent in both the ML and the systems around it: inference, cost, latency, evals. We match to your exact stack, whether LLMs, RAG, agents, or CV, never a generic AI label.

Scarce engineers who build evaluation harnesses, datasets, and regression suites. We source them from teams that have shipped eval infrastructure in production, and screen for statistical rigor and engineering quality.

Genuine depth in distributed systems across Kubernetes, data platforms, and observability. We verify it with software before your staff engineers spend a cycle, so cost and reliability never become a fire later.

Engineers with product instinct who move fast across frontend, backend, and product. We verify the range early teams need through a real shipping history, not a job title.

Scarce CV talent that takes perception from research into real devices. We match on your domain, whether robotics, autonomy, or medical, and on constraints like realtime and on device deployment.

People who read a paper on Monday and have a working prototype by Friday. We source them from labs and applied research teams, and screen for the balance of research literacy and engineering execution.